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Zhijie Zhong

1 accepted papers

2024

UMB: Understanding Model Behavior for Open-World Object Detection

NeurIPS 2024poster

Open-World Object Detection (OWOD) is a challenging task that requires the detector to identify unlabeled objects and continuously demands the detector to learn new knowledge based on existing ones. Existing methods primarily focus on recalling unknown objects, neglecting to explore the reasons behi…